Salesforce Unveils AI Digital Teammates in Slack to Rival Microsoft Copilot

Salesforce launched a new workplace AI strategy, introducing specialized “digital teammates” integrated into Slack conversations, the company revealed on Monday.

The new tool, Agentforce in Slack, enables businesses to create and deploy task-specific AI agents that search workplace chats, access company data, and execute actions within the messaging platform where employees already work daily.

“Just as specialized employees collaborate to solve problems, our clients need AI agents that work together to address issues for both customers and staff,” said Rob Seaman, Chief Product Officer of Slack at Salesforce, in an exclusive VentureBeat interview.

This launch marks a major shift in enterprise AI strategy. While many firms initially adopted broad, all-purpose AI assistants, these often struggled with complex tasks. Salesforce’s approach suggests a growing preference for targeted AI solutions over generalist models.

“Traditional AI assistants are limited to basic conversations, like customer service chatbots,” John Kucera, SVP of Salesforce AI, told VentureBeat. “With Agentforce in Slack, our digital teammates can reason, execute multi-step tasks, interact with various business systems, and adapt to specific challenges.”

Pre-built AI Templates Boost Enterprise Efficiency

Starting June 12, Salesforce will offer Slack Employee Agent Templates, providing pre-set configurations for common tasks like Customer Insights (summarizing CRM data), Onboarding (assisting new hires), and Employee Help (addressing HR, IT, and operational queries).

These templates tackle a frequent issue with AI deployments: the need for extensive customization to deliver measurable business value.

“Businesses need versatile AI agents that handle diverse tasks accurately while adhering to consistent logic and policies,” Kucera explained.

To enhance these agents, Salesforce introduced Slack Enterprise Search, enabling real-time searches across messages, files, and apps, and General Slack Topic, which helps agents understand and respond within team discussions.

Robust Security: Balancing AI Power with Data Protection

Salesforce emphasized that Agentforce adheres to existing user permissions in both Salesforce and Slack, addressing concerns about AI exposing sensitive data.

“Agentforce in Slack operates within the same security frameworks as Salesforce and Slack, ensuring customer data is handled securely and that responses are generated only from authorized data,” Seaman noted.

To expand access, Salesforce is offering no-cost Salesforce Identity licenses, allowing all Slack users, even non-Salesforce customers, to interact with Agentforce.

Proven ROI: Early Adopters Report Strong Productivity Gains

Early Agentforce deployments have shown impressive results. Paper tablet maker reMarkable reported faster IT and knowledge support, while Formula 1 saw fan queries resolved 80% faster, with over 95% first-call resolution.

Salesforce’s internal Engineering Agent in Slack handled over 18,000 conversations across 3,500 users in six months, answering 130 questions per channel monthly and saving about 30 hours per channel. “At this rate, it could handle 50,000 conversations annually, saving 17,000 hours—equivalent to over eight full-time staff and $1.4M,” Seaman said.

Other clients, like OpenTable, managed 73% of restaurant web queries in three weeks, while Engine cut average handle time by 15%, projecting $2 million in annual savings.

Slack’s Advantage: Competing with Microsoft and Google

Salesforce’s announcement positions it against Microsoft’s Copilot and Google’s Gemini in the competitive enterprise AI market. Each leverages its platform—Microsoft with Microsoft 365, Google with Workspace, and Salesforce with Slack and its CRM ecosystem.

“Agentforce supports customer, employee, and background AI agents on one platform, deployable across websites, Salesforce apps, and Slack,” Kucera said. “With Data Cloud integration, clients can use low-code tools to access data from other systems for these agents.”

Seaman emphasized Slack’s unique role: “Slack consolidates conversational data in a way competitors can’t, offering rich context from conversations, video transcripts, canvases, apps, and workflows.”

Redefining Work: Humans and AI as Teammates

Specialized AI agents prompt questions about the future of work as businesses delegate complex tasks to digital assistants. Salesforce executives stressed augmentation, not replacement, of human workers.

“AI agents currently excel at handling repetitive tasks, freeing employees for creative, high-value work like building customer relationships, innovating, and driving growth,” Kucera said.

Seaman envisions less app-switching: “Employees can tell an agent what they need, and it handles the rest, acting as the front-end for workflows and data across apps.”

Specialized AI: The Next Phase of Enterprise Strategy

Salesforce’s shift reflects a broader understanding that general AI assistants often falter in complex enterprise workflows. Focused agents reduce “semantic noise”—distractions from overly broad AI reasoning.

“We’re early in adopting AI agents in daily business, with most firms just exploring workforce augmentation,” Kucera noted. “This relationship will evolve into a stronger partnership over time.”

This trend mirrors human work structures, where specialists handle specific roles rather than generalists tackling everything.

“Every team has processes Agentforce in Slack can fulfill,” Seaman said. “Slack is the ideal hub for this, carrying an organization’s knowledge, culture, and customer data with Salesforce.”

As companies experiment with workplace AI, Salesforce’s focused approach may mark a shift toward reliable, task-specific assistance integrated into existing workflows.